Sap Ag

David Poyourow

Paul N Weinberg

Richard T Endo

Expression-based data may comprise data that is processed by a validation expression for example. After a validation expression is created it may then be performed with respect to one or more data values or data records. A validation expression returns a Boolean result that signifies a success or failure result. A validation expression can define complex intra-record tests and inter-record tests with unlimited complexity. In order to improve processing of validations, the system uses virtual data known as calculation fields. Calculation fields are stored in memory at runtime and not in a database thereby eliminating the necessity of selecting and updating records in the database. A dirty bit identifying fields and attributes that need to be calculated based on a dependent data may be used to defer calculation to a later time when the calculation field is displayed or a sort operation occurs for example.

Method for improved processing of expression-based data

Improved communication with a database comprising multiple clients utilizing multiple large data objects concurrently. For example when a client system interacts with a server with respect to a data object that is over a threshold size, the system may utilizing a communication methodology that minimizes system resource usage such as CPU and network utilization. When a client request for an object is within a size threshold, embodiments segment the object into smaller size chunks. Hence the server is not required to assemble all data associated with a request at once, but instead starts transmitting smaller segments. Allowing for transmission of smaller data chunks prevents allocating large blocks of memory to one object and although the server handles more memory allocations, each allocation is smaller and can be processed much faster. Chunk size may depend on environmental factors: time of day, day of week, number of users, number of predicted users.

Tool for optimizing system performance and methods relating to same

Improved communication with database for multiple clients utilizing large date objects concurrently. When interacting with a server with data objects over threshold size, minimizes system resource usage such as CPU and network utilization. Segments objects into smaller size chunks, allowing for transmission of smaller chunks which prevents server from allocating large blocks of memory to one object. Although server handles more memory allocations, each allocation is smaller in size and can therefore be processed much faster. Determination of chunk size is dependent on inherent system resources such as the amount of server memory, available network bandwidth. Chunk size is dependent on environmental factors such as time of day, day of week, number of users, number of predicted users for a given time and day based on historical logging, current and predicted network utilization for given time and day. Chunk size and chunk transfer size may be altered dynamically.

Growing community of inventors

Los Angeles, CA, United States of America

David Poyourow